April 16, 2024, 4:47 a.m. | Xiaoyi Zeng, Kaiwen Song, Leyuan Yang, Bailin Deng, Juyong Zhang

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.09531v1 Announce Type: new
Abstract: Neural implicit fields have established a new paradigm for scene representation, with subsequent work achieving high-quality real-time rendering. However, reconstructing 3D scenes from oblique aerial photography presents unique challenges, such as varying spatial scale distributions and a constrained range of tilt angles, often resulting in high memory consumption and reduced rendering quality at extrapolated viewpoints. In this paper, we enhance MERF to accommodate these data characteristics by introducing an innovative adaptive occupancy plane optimized during …

3d scenes abstract aerial arxiv challenges cs.cv cs.gr fields however improving memory new paradigm paradigm photography quality real-time rendering representation scale spatial type work

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